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A5c AI/Consensus Mechanisms — measured AI agent skill | DecimalAI

a5c-ai/consensus-mechanisms

SkillScore50Maintained

Multi-protocol consensus for agent swarms supporting Raft leader election, Byzantine fault tolerance, Gossip state propagation, and CRDT conflict-free merging.

by a5c-ai

Links this skill to your agents and keeps it current with the author’s updates.

Automatic

AI Engineer pack

decimalai skills pull a5c-ai-consensus-mechanisms

Get this skill — curl · raw file

curl -fsSL https://app.decimal.ai/s/a5c-ai-consensus-mechanisms/SKILL.md

Raw file: /s/a5c-ai-consensus-mechanisms/SKILL.md ↗ · machine-readable summary at /s/a5c-ai-consensus-mechanisms.json ↗

In productionGlobal

how this skill behaves on real traffic · last 30 days

No production data for this skill yet — usage numbers appear here once agents start running it.

Anonymized aggregate across every org using this skill — proof from real production use, not a demo.

Does this skill help? · Benchmark: with vs. withoutsign in to run this on your agents

22 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 9d ago

—-28% tokens0% turns50% of whole cases pass with skill (11/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-01	✗→✓	▲ Improved	-38%	0%
case-02	✗→✓	▲ Improved	-48%	0%
case-03	✗→✓	▲ Improved	-21%	0%
case-11	✗→✓	▲ Improved	-52%	0%
case-14	✗→✓	▲ Improved	17%	0%

Showing 5 of 22 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 7/31/2026

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

a5c-ai / babysitter

library/methodologies/ruflo/skills/consensus-mechanisms/SKILL.md

View on GitHub ↗

License MITImported 7/31/2026Version v1

Skill contents

SKILL.md

Byzantine fault tolerance is required (untrusted or unreliable agents)
State synchronization across distributed agent swarms
Conflict-free data merging in concurrent operations

Protocols

| Protocol | Use Case | Fault Tolerance | Complexity | |----------|----------|-----------------|------------| | Raft | Leader-based consensus, ordered log | Crash faults (f < n/2) | Medium | | Byzantine | Untrusted agents, adversarial conditions | Byzantine faults (f < n/3) | High | | Gossip | Eventual consistency, state propagation | Partition tolerant | Low | | CRDT | Conflict-free replicated data types | Always convergent | Low |

Weighted Voting

Queen agents: 3x weight multiplier
Worker agents: 1x weight
Configurable consensus threshold (majority, supermajority, unanimous)

Agents Used

agents/swarm-coordinator/ - Protocol orchestration
agents/strategic-queen/ - Weighted voting leadership

Tool Use

Invoke via babysitter process: methodologies/ruflo/ruflo-swarm-coordination

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